Ornith 1.0 9B (Unsloth)
Ornith 1.0 9B is DeepReinforce’s compact first-generation reasoning model, built on a Qwen-3.5 base and delivered as an Unsloth-GGUF for local Edge setups. 9.4B dense parameters, 262,000 tokens of context, MIT license — a reasoning-first profile for agentic coding workflows rather than a classic chat generalist.
- Open Weights
- Desktop
- llama.cpp
- Text
- Vision
- Batch
Sovereign Risk: LOW DeepReinforce releases Ornith 1.0 under the permissive MIT license, and Unsloth provides the local GGUF packaging for offline inference. The model has open weights, can be run entirely locally, and therefore carries a low operational provenance risk.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 65.86
- Routine
- 39.04
- Reasoning
- 26.82
- LLM Judge Avg
- 3.23 / 5
- 100 Coverage
- Avg Task Duration
- 115.98s
- Batch
- Token Rate
- 25.06tok/s
- Output Rate
- P95 Latency
- 466.75s
- Top 5 %
- Total Tokens
- 174200
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 174200 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Ornith 1.0 9B (Unsloth)
Best model
Ø All models
Code Quality
66.08
CLI Benchmark
80.34
Logical Reasoning
66.5
UX Writing
56.85
Documentation
56.79
Content Transform.
61.24
Cultural Intelligence
75.6
Synthesis Quality
52.5
Tool Execution
90
ToolUse Score
70.75
Benchmark Cost
$0
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze / Standard).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.